Da. Koonce et al., A DYNAMIC, REALTIME APPROACH TO LONG-DURATION MANUFACTURING SCHEDULE MONITORING AND CONTROL, Computers & industrial engineering, 26(4), 1994, pp. 619-631
Planning networks like PERT and CPM do not address all of the planning
, scheduling and monitoring problems associated with long-duration, lo
w-volume manufacturing typical in the aerospace industry. Other method
s such as MRP and Perti nets are often also limited in their capabilit
ies to analyze such systems. This paper presents a network representat
ion based on the artificial intelligence knowledge representation tech
nique of semantic networks. By explicity representing relationships be
tween operations, resources, milestones, components, schedules and pro
gress, this network approach can isolate conflicts that violate preset
system constraints. Steps for creating the network, along with algori
thms for network analysis are also presented.